World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
69
Citations
16985
World Ranking
2629
National Ranking
260

Ryota Kanai publication distribution in Neuroscience in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Neuroscience in 2026. The highlighted bar marks where Ryota Kanai sits on this spectrum.

38–47 publications: 18 scientists 48–57 publications: 79 scientists 58–67 publications: 193 scientists 68–77 publications: 323 scientists 78–87 publications: 406 scientists 88–97 publications: 452 scientists 98–107 publications: 539 scientists 108–117 publications: 505 scientists 118–127 publications: 522 scientists 128–137 publications: 469 scientists 138–147 publications: 456 scientists 148–157 publications: 459 scientists 158–167 publications: 397 scientists 168–177 publications: 383 scientists 178–187 publications: 350 scientists 188–197 publications: 302 scientists 198–207 publications: 306 scientists 208–217 publications: 262 scientists 218–227 publications: 242 scientists 228–237 publications: 220 scientists 238–247 publications: 203 scientists 248–257 publications: 174 scientists 258–267 publications: 176 scientists 268–277 publications: 175 scientists 278–287 publications: 125 scientists 288–297 publications: 116 scientists 298–307 publications: 127 scientists 308–317 publications: 128 scientists 318–327 publications: 99 scientists 328–337 publications: 89 scientists 338–347 publications: 78 scientists 348–357 publications: 96 scientists 358–367 publications: 66 scientists 368–377 publications: 59 scientists 378–387 publications: 65 scientists 388–397 publications: 54 scientists 398–407 publications: 48 scientists 408–417 publications: 49 scientists 418–427 publications: 34 scientists 428–437 publications: 31 scientists 438–447 publications: 30 scientists 448–457 publications: 31 scientists 458–467 publications: 36 scientists 468–477 publications: 40 scientists 478–487 publications: 35 scientists 488–497 publications: 30 scientists 498–507 publications: 23 scientists 508–517 publications: 26 scientists 518–527 publications: 20 scientists 528–537 publications: 23 scientists 538–547 publications: 20 scientists 548–557 publications: 20 scientists 558–567 publications: 17 scientists 568–577 publications: 14 scientists 578–587 publications: 20 scientists 588–597 publications: 20 scientists 598–607 publications: 19 scientists 608–617 publications: 18 scientists 618–627 publications: 17 scientists 628–637 publications: 11 scientists 638–647 publications: 11 scientists 648–657 publications: 11 scientists 658–667 publications: 8 scientists 668–677 publications: 7 scientists 678–687 publications: 11 scientists 688–697 publications: 10 scientists 698–707 publications: 4 scientists 708–717 publications: 6 scientists 718–727 publications: 5 scientists 728–737 publications: 5 scientists 738–747 publications: 9 scientists 748–757 publications: 9 scientists 758–767 publications: 3 scientists 768–777 publications: 7 scientists 778–787 publications: 7 scientists 788–797 publications: 6 scientists 798–807 publications: 2 scientists 808–817 publications: 2 scientists 818–827 publications: 7 scientists 828–837 publications: 0 scientists 838–847 publications: 9 scientists 848–857 publications: 3 scientists 858–867 publications: 1 scientists 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38 publications 887+

This scientist: 230 publications — 70th percentile

70% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 887 publications or more.

Ryota Kanai D-index placement in Neuroscience in 2026

The chart shows the D-index (discipline H-index) distribution of Neuroscience scientists ranked by Research.com in 2026. The highlighted bar marks where Ryota Kanai sits on this spectrum.

30–31 D-Index: 42 scientists 32–33 D-Index: 172 scientists 34–35 D-Index: 296 scientists 36–37 D-Index: 435 scientists 38–39 D-Index: 459 scientists 40–41 D-Index: 456 scientists 42–43 D-Index: 467 scientists 44–45 D-Index: 478 scientists 46–47 D-Index: 512 scientists 48–49 D-Index: 435 scientists 50–51 D-Index: 425 scientists 52–53 D-Index: 418 scientists 54–55 D-Index: 392 scientists 56–57 D-Index: 357 scientists 58–59 D-Index: 334 scientists 60–61 D-Index: 328 scientists 62–63 D-Index: 260 scientists 64–65 D-Index: 278 scientists 66–67 D-Index: 239 scientists 68–69 D-Index: 250 scientists 70–71 D-Index: 210 scientists 72–73 D-Index: 200 scientists 74–75 D-Index: 189 scientists 76–77 D-Index: 170 scientists 78–79 D-Index: 146 scientists 80–81 D-Index: 113 scientists 82–83 D-Index: 126 scientists 84–85 D-Index: 100 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 99 scientists 90–91 D-Index: 84 scientists 92–93 D-Index: 85 scientists 94–95 D-Index: 72 scientists 96–97 D-Index: 76 scientists 98–99 D-Index: 45 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 43 scientists 104–105 D-Index: 32 scientists 106–107 D-Index: 45 scientists 108–109 D-Index: 50 scientists 110–111 D-Index: 32 scientists 112–113 D-Index: 39 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 27 scientists 120–121 D-Index: 19 scientists 122–123 D-Index: 23 scientists 124–125 D-Index: 27 scientists 126–127 D-Index: 16 scientists 128–129 D-Index: 24 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 21 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 14 scientists 138–139 D-Index: 15 scientists 140–141 D-Index: 10 scientists 142–143 D-Index: 10 scientists 144–145 D-Index: 13 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 8 scientists 150–151 D-Index: 6 scientists 152–153 D-Index: 6 scientists 154–155 D-Index: 7 scientists 156–157 D-Index: 7 scientists 158–159 D-Index: 10 scientists 160–161 D-Index: 4 scientists 162 D-Index: 8 scientists 163+ D-Index: 100 scientists
30 D-Index 163+

This scientist: 69 D-Index — 73rd percentile

73% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 163 D-Index or more.

Overview

Ryota Kanai is affiliated with the University of Sussex in the United Kingdom. Their research primarily focuses on neuroscience, with an emphasis on cognitive neuroscience, artificial intelligence, computer vision and pattern recognition, genetics, and radiology, nuclear medicine, and imaging. The main thematic areas of their work include neural dynamics and brain function, functional brain connectivity studies, embodied and extended cognition, EEG and brain-computer interfaces, advanced neuroimaging techniques and applications, visual perception and processing mechanisms, and genetic associations and epidemiology.

Kanai's publication record includes notable recent papers such as:

  • The genetic architecture of the human cerebral cortex, 2020, Science
  • Consciousness in Artificial Intelligence: Insights from the Science of Consciousness, 2023, arXiv (Cornell University)
  • Deep learning and the Global Workspace Theory, 2021, Trends in Neurosciences
  • Meta-learning, social cognition and consciousness in brains and machines, 2021, Neural Networks
  • Information Closure Theory of Consciousness, 2020, Frontiers in Psychology

Their research has been disseminated through frequent publication in venues including:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Scientific Reports
  • Neuroscience of Consciousness
  • Neural Networks

Kanai has collaborated extensively with several coauthors in their field. Frequent collaborators include Neda Jahanshad, Christopher R. K. Ching, Ingrid Agartz, Rachel M. Brouwer, and Anders M. Dale.

The work carried out by Kanai integrates topics such as neural dynamics, brain connectivity, and artificial intelligence, reflecting a multidisciplinary approach at the intersection of neuroscience and computational methods.

Best Publications

  • The structural basis of inter-individual differences in human behaviour and cognition

    Ryota Kanai;Geraint Rees;Geraint Rees

  • Common genetic variants influence human subcortical brain structures.

    Derrek P. Hibar;Jason L. Stein;Jason L. Stein;Miguel E. Renteria;Alejandro Arias-Vasquez

  • The genetic architecture of the human cerebral cortex

    Katrina L. Grasby;Neda Jahanshad;Jodie N. Painter;Lucía Colodro-Conde

  • Political orientations are correlated with brain structure in young adults

    Ryota Kanai;Tom Feilden;Colin Firth;Geraint Rees;Geraint Rees

  • Frequency-Dependent Electrical Stimulation of the Visual Cortex

    Ryota Kanai;Leila Chaieb;Andrea Antal;Vincent Walsh

  • Online social network size is reflected in human brain structure

    R. Kanai;B. Bahrami;R. Roylance;G. Rees

  • Modulating Neuronal Activity Produces Specific and Long-Lasting Changes in Numerical Competence

    Roi Cohen Kadosh;Sonja Soskic;Teresa Iuculano;Teresa Iuculano;Ryota Kanai

  • Cerebral hierarchies: predictive processing, precision and the pulvinar

    Ryota Kanai;Yutaka Komura;Stewart Shipp;Karl Friston

  • Time dilation in dynamic visual display

    Ryota Kanai;Chris L. E. Paffen;Hinze Hogendoorn;Frans A. J. Verstraten

  • Novel genetic loci associated with hippocampal volume

    Derrek Hibar;Hieab H.H. Adams;Neda Jahanshad;Ganesh Chauhan

  • Human parietal cortex structure predicts individual differences in perceptual rivalry

    Ryota Kanai;Bahador Bahrami;Bahador Bahrami;Bahador Bahrami;Geraint Rees;Geraint Rees

  • Inter-individual differences in empathy are reflected in human brain structure

    Michael J. Banissy;Ryota Kanai;Vincent Walsh;Geraint Rees

  • Genetic architecture of subcortical brain structures in 38,851 individuals

    Claudia L. Satizabal;Claudia L. Satizabal;Claudia L. Satizabal;Hieab H.H. Adams;Derrek Hibar;Charles C. White;Charles C. White

  • Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3-90 years

    Sophia Frangou;Amirhossein Modabbernia;Steven C. R. Williams;Efstathios Papachristou

  • Novel genetic loci underlying human intracranial volume identified through genome-wide association

    Hieab H H Adams;Derrek P. Hibar;Vincent Chouraki;Vincent Chouraki;Vincent Chouraki;Jason L. Stein;Jason L. Stein

  • How Has the Internet Reshaped Human Cognition

    Kep Kee Loh;Ryota Kanai

  • Transfer of cognitive training across magnitude dimensions achieved with concurrent brain stimulation of the parietal lobe.

    Marinella Cappelletti;Erica Gessaroli;Rosalyn Hithersay;Micaela Mitolo

  • Relating inter-individual differences in metacognitive performance on different perceptual tasks

    Chen Song;Ryota Kanai;Stephen M. Fleming;Rimona S. Weil

  • Brain Structure Links Loneliness to Social Perception

    Ryota Kanai;Bahador Bahrami;Bahador Bahrami;Brad Duchaine;Agnieszka Janik

  • Selectively altering belief formation in the human brain.

    Tali Sharot;Ryota Kanai;David Marston;Christoph W. Korn;Christoph W. Korn

  • Higher media multi-tasking activity is associated with smaller gray-matter density in the anterior cingulate cortex.

    Kep Kee Loh;Ryota Kanai

Frequent Co-Authors

Geraint Rees
Geraint Rees University College London
Bahador Bahrami
Bahador Bahrami Max Planck Society
Vincent Walsh
Vincent Walsh University College London
Simon E. Fisher
Simon E. Fisher Max Planck Society
Frans A. J. Verstraten
Frans A. J. Verstraten University of Sydney
Jordan W. Smoller
Jordan W. Smoller Harvard University
John B.J. Kwok
John B.J. Kwok University of Sydney
Avram J. Holmes
Avram J. Holmes Yale University
Erik G. Jönsson
Erik G. Jönsson University of Oslo
Ingrid Agartz
Ingrid Agartz University of Oslo

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